云南高校图书馆联盟文献共享服务平台- BIAS

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Causal Representation Enhances Cross-Domain Named Entity Recognition in Large Language Models: 《Computers, Materials & Continua》2025年第5期2809-2828,共20页Jiahao Wu Jinzhong Xu Xiaoming Liu Guan Yang Jie Liu; supported by National Natural Science Foundation of China Joint Fund for Enterprise Innovation Development(U23B2029);National Natural Science Foundation of China(62076167,61772020);Key Scientific Research Project of Higher Education Institutions in Henan Province(24A520058,24A520060,23A520022);Postgraduate Education Reform and Quality Improvement Project of Henan Province(YJS2024AL053).; Large language models cross-domain named entity recognition task in the face of the scarcity of large language labeled data in a specific domain,due to the entity bias arising from the variation of entity information ...; 关键词：Large language model entity bias causal graph structure

Unveiling hidden biases in machine learning feature importance: 《Journal of Energy Chemistry》2025年第3期49-51,共3页Yoshiyasu Takefuji; Nirmal et al.presented a machine learning-based design of ternary organic solar cells,utilizing feature importance[1].This paper highlights the alarming potential biases in the use of feature importance in machine lea...; 关键词：Machine learning Feature importance Potential bias Chi-squared and P-value

Signal estimation bias in x-ray dark-field imaging using dual phase grating interferometer: 《Chinese Physics B》2025年第3期550-558,共9页Zhi-Li Wang Zun Zhang Heng Chen Xin Ge; Project supported by the National Natural Science Foundation of China(Grant Nos.U1532113,11475170,11905041);Anhui Provincial Natural Science Foundation(Grant No.2208085MA18);Fundamental Research Funds for the Central Universities(Grant No.JZ2022HGTB0244)。; In x-ray dark-field imaging using dual phase grating interferometer,multi-contrast signals are extracted from a set of acquired phase-stepping data by using the least-squares fitting algorithm.The extracted mean inten...; 关键词：x-ray imaging dual phase grating interferometer dark-field imaging signal bias

Bias Plan剂量叠加法对左乳腺癌术后放疗计划的影响研究: 《重庆医学》2025年第3期620-624,共5页刘攀董建伟赵文龙刘景朱彤; 江西省科学技术厅科技计划项目(20161BBG70036);江西省吉安市科技局科技计划项目(20233-043504)。; 目的探讨Monaco计划系统中Sum Plan与Bias Plan两种剂量叠加方法在左侧乳腺癌术后添加组织补偿物分段放疗计划中的剂量学影响。方法选取2023年3月至2024年2月在该院接受放疗的29例左乳腺癌根治术患者为研究对象,基于Monaco计划系统在相...; 关键词：Sum Plan Bias Plan 乳腺癌术后剂量学 Monaco

Early Machine Learning Models: Biases Shown and How It Can Be Corrected: 《Journal of Intelligent Learning Systems and Applications》2025年第1期1-7,共7页Nandini Guduru; The purpose of this research paper is to explore how early Machine Learning models have shown a bias in the results where a bias should not be seen. A prime example is an ML model that favors male applicants over fema...; 关键词：Machine Learning Artificial Intelligence BIAS Generative AI Training Data Testing Data

Calibrating the simulated summer precipitation trend over the southern slope of the Tibetan Plateau in CMIP6 models using a sub-selection method: 《Advances in Climate Change Research》2025年第1期35-43,共9页Hao-Lin LUO Deliang CHEN Song YANG Wei YU Zi-Qian WANG; supported jointly by the National Natural Science Foundation of China(42088101);the Guangdong Basic and Applied Basic Research Foundation(2023B1515020029);the Science and Technology Planning Project of Guangdong Province(2023B1212060019);the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)(316323005).; Precipitation on the Tibetan Plateau(TP)is crucial for Asian water balance and global climate patterns.The southern slope of the TP(SSTP),a precipitation center in summer,has experienced a long-term drying trend in re...; 关键词：Tibetan Plateau Precipitation trend Wetting bias Greenhouse gases CMIP6

A review of age estimation methods in non-avian reptiles by growth marks in hard tissues: 《Integrative Zoology》2025年第1期15-32,共18页Diana SZÉKELY Florina STANESCU Paul SZÉKELY Alexandra E.TELEA Dan COGALNICEANU; supported by the Romanian Ministry of Research,Innovation and Digitization,CNCS—UEFISCDI,within PNCDI III,through project numbers PN-III-P1-1.1-PD-2021-0260(FS)and PN-IIIP4-PCE-2021-0818(DC),and by a grant from the Academy of Romanian Scientists(FS).; Age and growth-related data are basic biological parameters,essential in population ecology,evolution,and con-servation biology.There is a growing body of published information on reptile demography derived from scle-...; 关键词：growth rate life history LONGEVITY publication trends research bias

基于NES(水量)+BIAS(水质)模型的恰甫河河道溢流污染控制分析: 《水利科技与经济》2025年第2期90-95,共6页王明学唐小盼; 为了提高河道溢流污染控制水平,研究提出基于NES(水量)+BIAS(水质)模型的分析方法。以恰甫河段为例,根据河道现状,采集研究数据,建立NES(水量)+BIAS(水质)模型,将超标频次和溢流频次作为控制指标,对比分析两类指标在相同控制标准的调蓄...; 关键词：合流制溢流纳污能力超标频次控制

Enhancing rectal cancer liver metastasis prediction:Magnetic resonance imaging-based radiomics,bias mitigation,and regulatory considerations: 《World Journal of Gastrointestinal Oncology》2025年第2期318-321,共4页Yuwei Zhang; In this article,we comment on the article by Long et al published in the recent issue of the World Journal of Gastrointestinal Oncology.Rectal cancer patients are at risk for developing metachronous liver metastasis(M...; 关键词：Metachronous liver metastasis Radiomics Machine learning Rectal cancer Magnetic resonance imaging variability Bias mitigation Food and Drug Administration regulations Predictive modeling

Vibration-induced bias error reduction using loop gain compensation for high-precision fiber optic gyroscopes: 《Journal of Systems Engineering and Electronics》2025年第1期224-232,共9页CHEN Heyu QIN Xuexin XIE Huan KONG Linghai ZHENG Yue; Fundamental Research Funds for the Central Universities(YWF-23-L-1225);National Natural Science Foundation of China(62201025);Chinese Aeronautical Establishment(2022Z037051001)。; Vibration-induced bias deviation,which is generated by intensity fluctuations and additional phase differences,is one of the vital errors for fiber optic gyroscopes(FOGs)operating in vibration environment and has seve...; 关键词：vibration-induced error fiber optic gyroscope(FOG) loop gain

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